# -*- coding: utf-8 -*-
from datetime import timedelta
from utils.operators.spark_submit import SparkSubmitOperator
from jms.dm.dm_customer_monitor_detail_dt import jms_dm__dm_customer_monitor_detail_dt
from jms.time_sensor.time_after_05_45 import time_after_05_45

jms_dm__dm_customer_monitor_dt = SparkSubmitOperator(
    task_id='jms_dm__dm_customer_monitor_dt',
    email=['guoruiling@jtexpress.com','yl_bigdata@yl-scm.com'],
    name='dm_customer_monitor_dt_{{ execution_date | date_add(1) | cst_ds }}',
    # sla=timedelta(hours=7),
    driver_memory='3G' , 
    executor_memory='3G' , 
    executor_cores=2 , 
    num_executors=3 , 
    pool_slots=5,
    conf={'spark.dynamicAllocation.enabled': 'true',  # 动态资源开启
          'spark.shuffle.service.enabled': 'true',  # 动态资源 Shuffle 服务开启
        'spark.dynamicAllocation.maxExecutors'             : 4 , 
          'spark.dynamicAllocation.cachedExecutorIdleTimeout': 120,  # 动态资源自动释放闲置 Executor 的超时时间(s)
          'spark.sql.sources.partitionOverwriteMode': 'dynamic',  # 允许删改已存在的分区
        'spark.executor.memoryOverhead'             : '2G' , 
          'spark.default.parallelism': 600,
          'spark.sql.shuffle.partitions': 600
          },
    # jars='hdfs:///scheduler/jms/spark/cp/dm_customer_monitor_detail_dt/common-1.0-SNAPSHOT.jar',  # 依赖 jar 包
    jars='hdfs:///scheduler/jms/spark/wangbiao/dm_customer_monitor_detail_dt/common-1.0-SNAPSHOT.jar',  # 依赖 jar 包
    java_class='com.yunlu.bigdata.jobs.export.CustomerMonitorData',  # spark 主类
    # application='hdfs:///scheduler/jms/spark/cp/dm_customer_monitor_detail_dt/original-jobs-1.0-SNAPSHOT.jar',
    application='hdfs:///scheduler/jms/spark/wangbiao/dm_customer_monitor_detail_dt/original-jobs-1.0-SNAPSHOT.jar',
    # spark jar 包
    application_args=['{{ execution_date | cst_ds }}'],
    #execution_timeout=timedelta(hours=3)
    #excel平均时长:1分15秒
    #execution_timeout = timedelta(minutes=15)
    #excel平均时长:1分15秒
    execution_timeout = timedelta(minutes=30),
)

jms_dm__dm_customer_monitor_dt << [
    jms_dm__dm_customer_monitor_detail_dt,

time_after_05_45
]
